#AI Engineering
6324 related articles
·2 min
Harness Engineering: An Advanced Methodology for Programmers to Master AI Coding
From prompt engineering to context engineering to Harness engineering, this article breaks down the three evolutions of AI coding and offers engineering solutions to pain points like hallucinations, non-standard code, and infinite loops.
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·2 min
Harness Engineering: The Core Methodology for Enterprise-Grade AI Coding
From prompt engineering to Harness Engineering, a deep dive into the three-stage evolution of AI coding. Learn how enterprises use engineered frameworks to harness AI models for production-ready code.
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·2 min
Harness Engineering: The Core Methodology for Enterprise-Grade AI Coding
From prompt engineering to Harness Engineering: a deep dive into the three-stage evolution of AI coding. Learn how enterprises use engineering frameworks to harness LLMs and ship production-ready code.
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·3 min
Pinterest Medic: Engineering an AI Agent for Automated Spark Failure Diagnosis
How Pinterest engineers built Medic for Apache Spark — a multi-agent auto-diagnosis tool — covering the evolution from a single ReAct agent, observability, log denoising, and end-to-end testing.
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·5 min
From Vibe Coding to AI Engineering: A Complete Guide to Enterprise-Grade Development
In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.
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·3 min
Vibe Coding vs. AI Engineering: A Practical Guide to Enterprise-Level AI Programming
From Vibe Coding to AI Engineering, explore Claude Code vs Codex tool selection, real enterprise boundaries of AI programming, and how to build maintainable AI-assisted development workflows.
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·4 min
Beyond Vibe Coding: A Complete Guide to Enterprise-Grade AI Engineering
Hit the Vibe Coding ceiling? This guide covers the three-stage AI coding progression path, Claude Code vs. Codex, SuperPower SDD, and how to go from vibe coding to enterprise-grade AI engineering.
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·7 min
Context Engineering: A Systematic Approach to Stop AI Agents from 'Talking Nonsense'
Context engineering is the core methodology for building efficient AI Agents, covering query enhancement, RAG retrieval, prompt design, memory management, and tool invocation. Master Write, Select, Compress, and Isolate to solve LLM hallucination at its root.
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·3 min
AI-Assisted GeeTest Four-Image CAPTCHA Reverse Engineering: A Complete Efficiency Guide
A complete walkthrough of AI-assisted GeeTest four-image CAPTCHA reverse engineering: from capturing the w parameter to AI analyzing obfuscated code and generating runnable scripts in minutes.
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·7 min
From Chat to Agent Platform: A Practical Guide to Engineering AI Applications
A deep dive into engineering AI applications: from a simple chat page to a multi-layer Agent platform, covering RAG knowledge bases, Workflow scheduling, multi-model management, and run tracing.
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·4 min
Vibe Coding vs. AI-Assisted Engineering: An In-Depth Look at Enterprise-Level Development
Can AI coding tools let non-developers replace programmers? This deep dive examines Vibe Coding's real limits, compares Claude Code vs. Codex, and reveals the methodology behind enterprise-grade AI-assisted software engineering.
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·2 min
IDA Pro + MCP in Action: AI-Assisted Reverse Engineering of a Music App's Signature Algorithm
A hands-on walkthrough of using IDA Pro with MCP for AI-assisted reverse engineering of a music app's Sign signature algorithm, covering traffic capture, endpoint analysis, and .so binary analysis.
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·2 min
Daedalus: A Deep Dive into the Ollama-Based Local AI Engineering Runtime
Daedalus is an open-source local AI engineering runtime built on Ollama, covering architecture, debugging, and security. Zero token costs, full privacy, integrates with Claude Code and OpenCode.
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·2 min
Vibe Coding vs AI Engineering: A Practical Enterprise-Level Comparison Guide
A deep dive comparing Vibe Coding vs AI Engineering, with hands-on analysis of Claude Code and Codex, two real projects, and the role of Skills in enterprise AI development.
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·3 min
AI-Accelerated Reverse Engineering: Cracking SM2/SM4 Encrypted Freelance Jobs in 30 Minutes
Real freelance case study: how to use DeepSeek and LLMs to reverse-engineer SM2/SM4 encrypted API parameters in 30 minutes, covering anti-debug bypass, call stack backtrace, and AI-assisted deobfuscation.
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·2 min
Loop Engineering Explained: The New Development Paradigm of Closed-Loop AI Agent Iteration
Loop Engineering is an emerging AI dev paradigm where Agents iterate in controlled loops instead of one-shot outputs. Learn the 4-year evolution and what it means for developers.
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Claude Is Mr. Meeseeks: The Disposable…
·2 min
Claude Is Mr. Meeseeks: The Disposable Nature of AI Agents and Its Engineering Implications
Using Rick and Morty's Mr. Meeseeks to explain Claude and AI agents: stateless execution, task atomicity, and multi-agent recursive failure risks. A deep dive for developers building better AI workflows.
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·4 min
GPT-5.6 & OpenAI Super App Deep Dive: Loop Engineering as the New Paradigm Replacing Prompt Engineering
Deep dive into GPT-5.6 (Sol/Terra/Luna) and OpenAI's Super App: Loop Engineering, Parallel Agents, and Computer Use — unpacking the shift from prompt to loop engineering with real test cases and a startup framework.
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·3 min
GPT-5.6 Prompt Engineering in Practice: A Systematic Approach to Eliminating AI Verbosity
A deep dive into GPT-5.6's official eight-dimension prompt framework — tracing AI verbosity back to RLHF and training data, with practical constraint techniques to fix it.
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·3 min
LangSmith Triple Release: Harness, Sandboxes, and Eval Complete the Agent Engineering Toolchain
LangChain launches Harness, Sandboxes, and Eval integrated into LangSmith, creating the first complete Agent engineering toolchain from development to acceptance testing.
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